At Addepto, we believe that the only constant in life is change, so we keep developing and improving to become better at what we do every day! We act outside the box and create and deliver the best solutions in Artificial Intelligence, Machine Learning, and Big Data.
For our team, we seek a highly experienced
Big Data Architect who will focus mainly on designing and implementing scalable data processing architectures. The position requires a strong consulting approach, as you will be actively engaged in client-facing projects.
As a Big Data Architect, you will:
- Oversee the overall system landscape, including Data Ingestion, Data Pipeline, Data Processing and Data Analytics, while also developing architectural recommendations.
- Develop and manage end-to-end data solutions, ensuring scalability, reliability, quality, and performance.
- Facilitate the development of data-driven products utilizing real data for various domains.
- Lead and mentor the solution architecture team.
- Manage product and delivery aspects.
- Serve as a System Architect for data projects.
- Oversee enterprise data management initiatives.
- Implement and enforce data governance policies.
What you’ll need to succeed in this role:
- Higher education in technical or mathematical studies.
- At least 6 years of proven commercial experience in building, implementing, and maintaining Big Data architectures, systems, and processes (data governance, data catalog, data quality, etc.).
- Proficiency in Python (or Java/Scala) and hands-on experience with Apache Spark, Cloudera, Data Platform, Airflow, and NiFi.
- Familiarity with Big Data technologies like Databricks, Docker, Kubernetes, Iceberg, Trino, and Hudi.
- Proven expertise in implementing and deploying solutions in cloud environments (with a preference for AWS).
- Strong consulting experience with excellent communication and client management skills, including prior experience directly interacting with clients as a consultant.
- High proficiency in English (at least C1 level) is necessary.
- Ability to work independently and take ownership of project deliverables.
- Past experience as Data Architect or Lead Data Engineer roles is a plus.
- Awareness of security best practices and keen interest in emphasizing this aspect in everyday work.
- Experience with an MLOps framework such as Kubeflow or MLFlow.
Check out our recent Big Data projects:
- Data lakes, which store terabytes of data and process Machine Learning tasks for a big telecom company.
- Streaming applications to server data analytics in real-time for manufacturing companies.
- Systems that support the decision-making process and help to analyze data in a unified format for controlling and operations departments.
- Support real-time Machine Learning prediction on massive datasets, which prevents company losses for pharmaceutical companies.
- And more!
Discover our perks & benefits:
- Work in a team of passionate enthusiasts of Big Data & Artificial Intelligence.
- Engage with top-tier global enterprises and cutting-edge startups on international projects, contributing to state-of-the-art AI & Big Data developments.
- Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces across Poland.
- Accelerate your professional growth through internal career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences.
- Choose from various employment options: B2B, employment contracts, or contracts of mandate.
- Make use of 20 fully paid days off available for B2B contractors and individuals under contracts of mandate.
- Participate in team-building events and utilize the integration budget.
- Celebrate work anniversaries, birthdays, and milestones.
- Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.
- Get full work equipment for optimal productivity, including a laptop and other necessary devices.
- With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups.
- Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.